Research

My research focuses on corpus-based statistical
methods for multilingual semantic and discourse processing and
NLP applications built thereon, including NLP for natural
language understanding
and information access and NLP for cultural heritage.

DFG accepts new project on Knowledge-based Argumentation
Analysis

The new project ExpLAIN: Between the lines -- Knowledge-based Analysis of
Argumentation in a formal Argumentation Inference System is funded
within the DFG priority program RATIO: Robust Argumentation
Machines.

The project will be jointly conducted by Prof. Anette Frank and Prof. Heiner Stuckenschmidt (University of Mannheim) and their
associated research groups.

The project will

uncover missing explanatory links in argumentative
texts,

fill in automatically acquired knowledge that makes the
structure of the argument explicit, and

will establish and verify the
knowledge-enhanced argumentation structure with a combination of
formal reasoning and machine learning.